Artificially Intelligent Government: A Review and Agenda
Abstract/Contents
- Abstract
- We offer a synthetic review of the distinct governance challenges raised by public sector adoption of AI. We illustrate how a new wave of AI technology is exhibiting early signs of transforming how government works, raising distinct governance challenges. First, public sector AI will grapple not only with widely covered constitutional law issues, but also with administrative law’s unique demands for transparency and explainability. Second, embedded technical expertise will be critical for narrowing the public-private sector technology gap and furthering “internal” due process. Third, we spell out the challenges of gameability, distributive effects, and legitimacy as the new AI-based governance technologies move closer to performing core government functions. We argue that the next generation of work will require more sustained attention to (a) the legal and institutional context and (b) the technological viability of use cases.
Description
Type of resource | text |
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Date created | 2021 |
Date modified | August 10, 2021; December 5, 2022 |
Publication date | June 14, 2021 |
Creators/Contributors
Author | Engstrom, David Freeman | |
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Author | Ho, Daniel E. |
Subjects
Subject | Artificial Intelligence |
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Subject | Machine Learning |
Subject | Administrative Agencies |
Subject | Administrative Law |
Subject | Algorithmic Governance |
Subject | Stanford Law School |
Genre | Text |
Genre | Book |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Engstrom, David Freeman & Ho, Daniel E., Artificially intelligent government: A review and agenda, in RESEARCH HANDBOOK ON BIG DATA LAW 57-86 (Roland Vogl ed., Edward Elgar Publishing, 2021). Stanford Digital Repository. Available at: https://purl.stanford.edu/hp475wq9755
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Faculty, Student, and Staff Publications
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- Contact
- dho@law.stanford.edu
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